P
Pinely
Research Scientist

Junior Deep Learning Researcher

On-siteJuniorResearch Scientistposted 6mo ago
✦Role summaryAI-generated

Pinely seeks a Junior Deep Learning Researcher to develop and test adaptive trading models within a high‑frequency trading environment. The role involves rapid prototyping of neural networks, leveraging GPU infrastructure, and deploying research into production pipelines.

Skills required

About this role

We are Pinely, a high-frequency algorithmic trading firm based in Amsterdam.

Our team specializes in developing robust and adaptive strategies applicable across a wide range of financial instruments and exchanges. We actively support the Olympiad movement, and many of our colleagues are prize-winning mathematicians, researchers and engineers.

Researchers at Pinely benefit from working in a fast-paced HFT environment, where the impact of their ideas is quickly visible in production. The research teams are supported by a world-class infrastructure group that ensures smooth deployment and reliable experimentation at scale.

Our flat organizational structure encourages autonomy, creativity, and direct ownership. We value an informal, idea-driven culture where innovation is celebrated and every contribution matters.

We are excited to announce an opportunity for a Junior Deep Learning Researcher to join our Amsterdam-based office.

Responsibilities

  • Conduct original research in the areas of artificial intelligence, machine learning, and related quantitative fields.
  • Develop and experiment with modern deep learning architectures
  • Analyze large, unstructured, and noisy datasets to extract meaningful insights
  • Collaborating with developers and other researchers to implement and optimize trading strategies.
  • Continually explore new methodologies and technologies to enhance research outcomes

Requirements

    • A degree in mathematics, physics, computer science, or another quantitative discipline (or expectation of such a degree within the next year)
    • Knowledge of machine learning, probability theory and mathematical statistics.
    • Proficiency in Python.
    • Some experience with C++, although not necessarily in an industrial setting.
    • Practical experience with modern DL architecture.
    • Background in analyzing large, unstructured, and noisy datasets.
    • Would be beneficial: Published research findings in top-tier journals and conferences (ICML, NeurIPS, ICLR, CVPR, ICCV).


    Benefits

    • High base salary plus significant biannual bonuses;
    • Relocation package to Amsterdam (we are very flexible in discussing salary and conditions of employment);
    • Flexible workflow and working schedule;
    • Being part of a team with top winners in mathematics and programming competitions;
    • Cutting-edge hardware and software in production as well as high technical expertise of the company which allows implementation of ideas and boosting great results;
    • Internal training, comprehensive health insurance, sports reimbursement, and biannual corporate events.


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